Fold Enrichment (Obs/Exp): fold enrichment of number of genomic regions in the test set with the annotation (k*N / (K*n))

Expected (n*K/N): expected number of genomic regions in the test set with the annotation

Observed Region Hits (k): actual number of genomic regions in the test set associated with one or more genes with the annotation

Total Background Region Hits (K): number of background genomic regions associated with one or more genes with the annotation

Region Set Coverage (k/n): the fraction of all genomic regions in the test set that lie in the regulatory domain of a gene with the annotation

Region Term Coverage (k/K): the fraction of all background genomic regions associated with one or more genes with the annotation that are in the test set

Annotated Genes Hit by Foreground: names of all genes annotated with the term that have one or more test set regions associated with them

Annotated Genes Hit by Background: names of all genes annotated with the term that have one or more background regions associated with them

Total Genes Annotated: the number of genes in the genome annotated with the term

Statistical Significance

Output data p-values are displayed in bold when they satisfy the statistical significance criteria. In the whole genome test, the term name is also shown in bold if both the binomial test over genomic regions and the hypergeometric test over genes produce significant p-values. Note that this filter does not directly alter which terms are shown, but simply how they appear. Omitting terms from view is handled by the View filter (discussed below).

View

The View filter determines which tests to display in output tables based on their p-values and the statistical significance threshold applied. GREAT's initial Significant by Both output view shows information only for terms that are statistically significant by both the binomial and hypergeometric tests and that satisfy all other filter criteria (by default a binomial fold enrichment filter of 2 is set). Switching the View control to Significant by Region-based Binomial will show rows that are significant by the binomial test but may not be significant by the hypergeometric test, and while All Terms reveals all test results that satisfy all non-statistical-significance criteria (ie. it will display terms that are not statistically significant by one or both tests).

What is a UCSC Genome Browser Custom Track?

A custom track in the UCSC Genome Browser is a way of displaying one's own annotation data in the browser. GREAT can automatically open your test regions as a custom track in the UCSC Genome Browser. It can also create annotation term specific custom tracks of the regions in your test set associated with the annotation term (available on the Term Details page accessed by clicking on a term description). Custom tracks are only viewable on the machine from which they were uploaded and are discarded 48 hours after their last access. More information is available at UCSC Genome Bioinformatics.

Output Filters

GREAT offers a number of filters that affect both the display and processing of the output data:

Minimum region-based fold enrichment - Only display terms with a region-based fold enrichment (observed regions hit / expected regions hit) greater than or equal to this value. This filter is useful for avoiding general terms, which can achieve strong p-values with moderate fold enrichments. Fold enrichment is a measure of effect size.

Observed gene hits - Only display terms that hit at least this many different genes. This filter is useful for avoiding enrichments due to a number of different regions hitting the same genes repeatedly.

Term annotation count - Only display terms whose number of genes annotated with the term falls within this range.

Ontology Table Controls

Each ontology table has a set of controls which operate exclusively on that table's content.

The Shown top rows in this table control allows you to choose how many rows appear in the table. If there are not enough data rows in the ontology or the filtering criteria are strict enough that fewer rows satisfy the criteria, then the number of rows you choose may not appear.

The Test annotation count control allows you to change the annotation count requirement for the table.

Previous GREAT release output columns

Genomic region and gene associations file

Beginning in GREAT version 1.5, users can download the associations between each input genomic region and the gene(s) it putatively regulates according to the association rule used. This file contains a header line indicating the GREAT version, assembly, and association rule used, and then lists the associations for each input genomic region as a two column tab-delimited entry. A sample output for an input file of three genomic regions could look like the following:

The first column of the output is the user-given name of the input genomic region (the "name" field of the BED). The second column contains a comma-delimited list of all genes to which the genomic region is associated and the distance (in bp) from the middle of the input genomic region to the transcription start site (TSS) of the gene (or NONE if the genomic region is not associated with any gene). The distance also has strand information: '+' indicates that the input genomic region is downstream of the TSS and '-' indicates that the input genomic region is upstream of the TSS.

Beginning in GREAT version 1.8, the same information is also available in a gene-centric table where each gene lists all the genomic regions associated to it. Both the full set of genomic region-gene associations and those restricted to being involved in a particular ontology term process can be viewed and downloaded in either format.

Beginning in GREAT version 2.0, access to this feature was added to the "Global Export" drop down.

Genomic region and gene associations graphs

Beginning in GREAT version 1.8, whole genome tests also include graphs displaying statistics about the association of input genomic regions to the TSS of all the genes putatively regulated by the genomic regions.

For all three graphs, the y-axis is given in percentages. Above each percentage in the graph is listed the absolute number of items being counted.

The "Number of associated genes per region" graph shows how many genes each genomic region is assigned as putatively regulating based on the association rule used.

The distance to TSS graphs show the distance between input regions and their putatively regulated genes. The distances are divided into four separate bins: one from 0 to 5 kb, another from 5 kb to 50 kb, a third from 50 kb to 500 kb, and a final bin of all associations over 500 kb. For preciseness, the bins are 0, 5 kb, (5 kb, 50 kb], (50 kb, 500 kb], (500 kb, Infinity). In both graphs, all associations precisely at 0 (i.e. on the TSS) are split evenly between the -5 kb, 0 and 0, 5 kb bins.

Two graphs are displayed: one in which region-gene associations are binned by both distance and gene orientation (so an association of an input genomic region that is 10 kb upstream of its predicted target gene is counted in a separate bin from another genomic region that is 10 kb downstream of its predicted target gene), and another in which only the distance to TSS is considered.

As an example, the genomic region and gene associations file given above would cause the following observed distances to be made: